Machine Intelligence Engineering Student Intern

Job Location
US-MA-Cambridge

Posted Date
5 months ago(7/24/2018 9:33 AM)

Requisition ID

2018-3399

Overview

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 1,700 employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visitwww.draper.com.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply nowwww.draper.com/careers.

Equal Employment Opportunity

Draper is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer. We understand the value of diversity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

Draper is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

Responsibilities

The ideal student will work on cutting-edge efforts for US Government and commercial customers as well as IRAD projects. Areas of work include; machine learning for a variety of applications, data analytics, predictive and computational modeling of complex systems, computational neuroscience, and rapid prototyping (coding) of completely novel tools. Specific program areas include biometrics, mental health care and intelligence analysis. The ideal candidate is an assertive self-starter, excited to learn, and have an important role on the team.